Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.

TitleClassification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.
Publication TypeJournal Article
Year of Publication2001
AuthorsBhattacharjee A, Richards WG, Staunton J, Li C, Monti S, Vasa P, Ladd C, Beheshti J, Bueno R, Gillette M, Loda M, Weber G, Mark EJ, Lander ES, Wong W, Johnson BE, Golub TR, Sugarbaker DJ, Meyerson M
JournalProc Natl Acad Sci U S A
Date Published2001 Nov 20
KeywordsAdenocarcinoma, Carcinoma, Small Cell, Carcinoma, Squamous Cell, Disease Progression, Gene Expression, Gene Expression Profiling, Humans, Lung Neoplasms, Neoplasm Metastasis, Retrospective Studies, RNA, Messenger, RNA, Neoplasm, Smoking, Survival Rate, Time Factors

We have generated a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, we analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct subclasses of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Alternate JournalProc Natl Acad Sci U S A
PubMed ID11707567
PubMed Central IDPMC61120
Grant ListU01 CA084995 / CA / NCI NIH HHS / United States
U01 CA84995 / CA / NCI NIH HHS / United States
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Massimo Loda, M.D.

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